The Context Layer purpose-built for AI agents.
San Francisco, California
Teams are connecting Claude and ChatGPT to their CRM and getting confidently wrong answers. In our benchmark, raw CRM + MCPs hit less than 50% accuracy on standard RevOps/GTM questions. With Vasco's context graph underneath, accuracy rose to 98%. Vasco is the revenue data layer that makes AI agents trustworthy on your revenue data: shared definitions, identity resolution, plan targets, and outcome memory that MCP alone cannot provide.
Hybrid · Montréal
Own and improve Vasco's GCP and Kubernetes infrastructure, Terraform workflows, CI/CD, developer tooling, observability, incident response, security, and cloud and LLM cost controls. Establish platform standards and guardrails, support data infrastructure, and help maintain compliance so engineers can ship safely and reliably.
Hybrid · Montréal
Design, build, and operate backend systems for production-ready GTM agents, including context graphs and a metric engine, while owning features from solution shaping through release and adoption. Build secure, reliable services for customer revenue data, contribute to AI-native engineering practices, and take responsibility for incidents affecting the systems you ship.